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Characteristic wave detection in ECG signal using morphological transform.

Yan Sun·Kap Luk Chan·Shankar Muthu Krishnan
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Abstract

BACKGROUND: Detection of characteristic waves, such as QRS complex, P wave and T wave, is one of the essential tasks in the cardiovascular arrhythmia recognition from Electrocardiogram (ECG). METHODS: A multiscale morphological derivative (MMD) transform-based singularity detector, is developed for the detection of fiducial points in ECG signal, where these points are related to the characteristic waves such as the QRS complex, P wave and T wave. The MMD detector is constructed by substituting the conventional derivative with a multiscale morphological derivative. RESULTS: We demonstrated through experiments that the Q wave, R peak, S wave, the onsets and offsets of the P wave and T wave could be reliably detected in the multiscale space by the MMD detector. Compared with the results obtained via with wavelet transform-based and adaptive thresholding-based techniques, an overall better performance by the MMD method was observed. CONCLUSION: The developed MMD method exhibits good potentials for automated ECG signal analysis and cardiovascular arrhythmia recognition.

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AlgorithmsArrhythmias, CardiacElectrocardiographyHumansSignal Processing, Computer-AssistedComparative StudyJournal ArticleResearch Support, Non-U.S. Gov't

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BibTeXRIS

Yan Sun, Kap Luk Chan, Shankar Muthu Krishnan. 2005-09-20. Characteristic wave detection in ECG signal using morphological transform.. https://doi.org/10.1186/1471-2261-5-28

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